Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	3678
Missing cells	6711
Missing cells (%)	7.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.2 MiB
Average record size in memory	632.1 B

Variable types

Categorical	10
Text	3
Numeric	10

Alerts

`area` is highly overall correlated with `bathroom` and 5 other fields	High correlation
`balcony` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 6 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`built_up_area` is highly overall correlated with `area` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`price` is highly overall correlated with `area` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 1 other fields	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`super_built_up_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`facing` has 1045 (28.4%) missing values	Missing
`super_built_up_area` has 1803 (49.0%) missing values	Missing
`built_up_area` has 1987 (54.0%) missing values	Missing
`carpet_area` has 1805 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73502267)	Skewed
`built_up_area` is highly skewed (γ1 = 40.71860372)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33975996)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 462 (12.6%) zeros	Zeros

Reproduction

Analysis started	2024-02-07 11:11:28.895155
Analysis finished	2024-02-07 11:11:54.515092
Duration	25.62 seconds
Software version	ydata-profiling vv4.6.4
Download configuration	config.json

property_type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.7 KiB

flat	2819
house	859

Length

Max length	5
Median length	4
Mean length	4.2335508
Min length	4

Characters and Unicode

Total characters	15571
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	house
4th row	flat
5th row	house

Common Values

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15571	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15571	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15571	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

society
Text

Distinct	676
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	294.0 KiB

Length

Max length	49
Median length	39
Mean length	16.870275
Min length	1

Characters and Unicode

Total characters	62032
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	308 ?
Unique (%)	8.4%

Sample

1st row	signature global grand iva
2nd row	dlf icon
3rd row	independent
4th row	m3m skywalk
5th row	dlf city phase 1

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.5%
heights	134	1.4%
Other values (783)	7500	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6710	10.8%
	6005	9.7%
a	5863	9.5%
r	4175	6.7%
n	4163	6.7%
i	3830	6.2%
t	3720	6.0%
s	3473	5.6%
l	2944	4.7%
o	2757	4.4%
Other values (31)	18392	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55482	89.4%
Space Separator	6005	9.7%
Decimal Number	527	0.8%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6710	12.1%
a	5863	10.6%
r	4175	7.5%
n	4163	7.5%
i	3830	6.9%
t	3720	6.7%
s	3473	6.3%
l	2944	5.3%
o	2757	5.0%
d	2490	4.5%
Other values (16)	15357	27.7%

Decimal Number

Value	Count	Frequency (%)
3	207	39.3%
2	82	15.6%
1	75	14.2%
6	56	10.6%
8	32	6.1%
4	19	3.6%
5	17	3.2%
0	13	2.5%
9	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6005	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55482	89.4%
Common	6550	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6710	12.1%
a	5863	10.6%
r	4175	7.5%
n	4163	7.5%
i	3830	6.9%
t	3720	6.7%
s	3473	6.3%
l	2944	5.3%
o	2757	5.0%
d	2490	4.5%
Other values (16)	15357	27.7%

Common

Value	Count	Frequency (%)
	6005	91.7%
3	207	3.2%
2	82	1.3%
1	75	1.1%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
0	13	0.2%
9	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6710	10.8%
	6005	9.7%
a	5863	9.5%
r	4175	6.7%
n	4163	6.7%
i	3830	6.2%
t	3720	6.0%
s	3473	5.6%
l	2944	4.7%
o	2757	4.4%
Other values (31)	18392	29.6%

sector
Text

Distinct	115
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	266.9 KiB

Length

Max length	26
Median length	9
Mean length	9.3181077
Min length	3

Characters and Unicode

Total characters	34272
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 103
2nd row	sector 43
3rd row	sector 11
4th row	sector 74
5th row	sector 26

Value	Count	Frequency (%)
sector	3449	46.7%
road	178	2.4%
sohna	166	2.2%
85	108	1.5%
102	107	1.4%
92	100	1.4%
69	92	1.2%
90	88	1.2%
65	87	1.2%
81	87	1.2%
Other values (107)	2923	39.6%

Most occurring characters

Value	Count	Frequency (%)
o	3804	11.1%
	3707	10.8%
s	3694	10.8%
r	3694	10.8%
e	3548	10.4%
c	3500	10.2%
t	3460	10.1%
1	1076	3.1%
0	802	2.3%
8	780	2.3%
Other values (21)	6207	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23307	68.0%
Decimal Number	7258	21.2%
Space Separator	3707	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3804	16.3%
s	3694	15.8%
r	3694	15.8%
e	3548	15.2%
c	3500	15.0%
t	3460	14.8%
a	698	3.0%
d	249	1.1%
n	230	1.0%
h	203	0.9%
Other values (10)	227	1.0%

Decimal Number

Value	Count	Frequency (%)
1	1076	14.8%
0	802	11.0%
8	780	10.7%
9	760	10.5%
6	738	10.2%
7	682	9.4%
2	680	9.4%
3	665	9.2%
5	591	8.1%
4	484	6.7%

Space Separator

Value	Count	Frequency (%)
	3707	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23307	68.0%
Common	10965	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3804	16.3%
s	3694	15.8%
r	3694	15.8%
e	3548	15.2%
c	3500	15.0%
t	3460	14.8%
a	698	3.0%
d	249	1.1%
n	230	1.0%
h	203	0.9%
Other values (10)	227	1.0%

Common

Value	Count	Frequency (%)
	3707	33.8%
1	1076	9.8%
0	802	7.3%
8	780	7.1%
9	760	6.9%
6	738	6.7%
7	682	6.2%
2	680	6.2%
3	665	6.1%
5	591	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34272	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3804	11.1%
	3707	10.8%
s	3694	10.8%
r	3694	10.8%
e	3548	10.4%
c	3500	10.2%
t	3460	10.1%
1	1076	3.1%
0	802	2.3%
8	780	2.3%
Other values (21)	6207	18.1%

price
Real number (ℝ)

HIGH CORRELATION

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5336302

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.980217
Coefficient of variation (CV)	1.1762636
Kurtosis	14.938399
Mean	2.5336302
Median Absolute Deviation (MAD)	0.72
Skewness	3.2796497
Sum	9275.62
Variance	8.8816932
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.2	64	1.7%
1.5	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.5%
2	52	1.4%
0.95	52	1.4%
1.6	48	1.3%
Other values (463)	3059	83.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

HIGH CORRELATION

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13892.912

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4716
Q1	6818
median	9020
Q3	13888
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7070

Descriptive statistics

Standard deviation	23206.901
Coefficient of variation (CV)	1.670413
Kurtosis	186.9792
Mean	13892.912
Median Absolute Deviation (MAD)	2795
Skewness	11.438713
Sum	50861951
Variance	5.3856025 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
11111	13	0.4%
22222	13	0.4%
6666	13	0.4%
7500	12	0.3%
8333	12	0.3%
6000	11	0.3%
Other values (2641)	3510	95.4%
(Missing)	17	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	1312
Distinct (%)	35.8%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2887.9874

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	519
Q1	1233
median	1733
Q3	2300
95-th percentile	4246
Maximum	875000
Range	874950
Interquartile range (IQR)	1067

Descriptive statistics

Standard deviation	23164.35
Coefficient of variation (CV)	8.0209318
Kurtosis	942.28712
Mean	2887.9874
Median Absolute Deviation (MAD)	533
Skewness	29.735023
Sum	10572922
Variance	5.3658712 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
1950	43	1.2%
3240	43	1.2%
2700	39	1.1%
900	38	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3268	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Text

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	428.3 KiB

Length

Max length	124
Median length	119
Mean length	54.241164
Min length	12

Characters and Unicode

Total characters	199499
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1848 ?
Unique (%)	50.2%

Sample

1st row	Built Up area: 750 (69.68 sq.m.)Carpet area: 605 sq.ft. (56.21 sq.m.)
2nd row	Built Up area: 2801 (260.22 sq.m.)
3rd row	Plot area 3500(325.16 sq.m.)
4th row	Super Built up area 1406(130.62 sq.m.)Built Up area: 1300 sq.ft. (120.77 sq.m.)Carpet area: 1124 sq.ft. (104.42 sq.m.)
5th row	Plot area 200(167.23 sq.m.)

Value	Count	Frequency (%)
area	5575	18.5%
sq.m	3656	12.1%
up	3021	10.0%
built	2317	7.7%
super	1875	6.2%
sq.ft	1752	5.8%
sq.m.)carpet	1186	3.9%
sq.m.)built	702	2.3%
carpet	683	2.3%
plot	681	2.3%
Other values (2846)	8704	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26474	13.3%
.	20397	10.2%
a	13159	6.6%
r	9459	4.7%
e	9323	4.7%
1	9210	4.6%
s	7570	3.8%
q	7434	3.7%
t	7327	3.7%
u	6771	3.4%
Other values (25)	82375	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82786	41.5%
Decimal Number	47153	23.6%
Space Separator	26474	13.3%
Other Punctuation	23416	11.7%
Uppercase Letter	8596	4.3%
Close Punctuation	5537	2.8%
Open Punctuation	5537	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13159	15.9%
r	9459	11.4%
e	9323	11.3%
s	7570	9.1%
q	7434	9.0%
t	7327	8.9%
u	6771	8.2%
p	6769	8.2%
m	5546	6.7%
l	3702	4.5%
Other values (5)	5726	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9210	19.5%
0	6630	14.1%
2	5689	12.1%
5	4717	10.0%
3	3962	8.4%
4	3712	7.9%
6	3676	7.8%
7	3255	6.9%
8	3157	6.7%
9	3145	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3021	35.1%
S	1875	21.8%
C	1873	21.8%
U	1146	13.3%
P	681	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20397	87.1%
:	3019	12.9%

Space Separator

Value	Count	Frequency (%)
	26474	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5537	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5537	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108117	54.2%
Latin	91382	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13159	14.4%
r	9459	10.4%
e	9323	10.2%
s	7570	8.3%
q	7434	8.1%
t	7327	8.0%
u	6771	7.4%
p	6769	7.4%
m	5546	6.1%
l	3702	4.1%
Other values (10)	14322	15.7%

Common

Value	Count	Frequency (%)
	26474	24.5%
.	20397	18.9%
1	9210	8.5%
0	6630	6.1%
2	5689	5.3%
)	5537	5.1%
(	5537	5.1%
5	4717	4.4%
3	3962	3.7%
4	3712	3.4%
Other values (5)	16252	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199499	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26474	13.3%
.	20397	10.2%
a	13159	6.6%
r	9459	4.7%
e	9323	4.7%
1	9210	4.6%
s	7570	3.8%
q	7434	3.7%
t	7327	3.7%
u	6771	3.4%
Other values (25)	82375	41.3%

bedRoom
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3599782

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8973801
Coefficient of variation (CV)	0.56470012
Kurtosis	18.218941
Mean	3.3599782
Median Absolute Deviation (MAD)	1
Skewness	3.4857171
Sum	12358
Variance	3.6000513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1497	40.7%
2	942	25.6%
4	660	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
12	28	0.8%
7	28	0.8%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1497	40.7%
4	660	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4244154

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9478158
Coefficient of variation (CV)	0.56880241
Kurtosis	17.548118
Mean	3.4244154
Median Absolute Deviation (MAD)	1
Skewness	3.2493833
Sum	12595
Variance	3.7939863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1078	29.3%
2	1047	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1078	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.2 KiB

3+	1172
3	1075
2	884
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3186514
Min length	1

Characters and Unicode

Total characters	4850
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	3+
3rd row	3+
4th row	3+
5th row	3

Common Values

Value	Count	Frequency (%)
3+	1172	31.9%
3	1075	29.2%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2247	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2247	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	75.8%
Math Symbol	1172	24.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2247	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4850	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2247	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2247	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

ZEROS

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7969391

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0121557
Coefficient of variation (CV)	0.8845387
Kurtosis	4.5164183
Mean	6.7969391
Median Absolute Deviation (MAD)	3
Skewness	1.6940035
Sum	24870
Variance	36.146016
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	494	13.4%
1	351	9.5%
4	316	8.6%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	937	25.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	129	3.5%
1	351	9.5%
2	494	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1045
Missing (%)	28.4%
Memory size	233.7 KiB

East	624
North-East	623
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.837068
Min length	4

Characters and Unicode

Total characters	18002
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North
2nd row	South
3rd row	North-East
4th row	East
5th row	West

Common Values

Value	Count	Frequency (%)
East	624	17.0%
North-East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1045	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	624	23.7%
north-east	623	23.7%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3775	21.0%
s	2015	11.2%
o	1760	9.8%
h	1760	9.8%
E	1420	7.9%
a	1420	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13085	72.7%
Uppercase Letter	3775	21.0%
Dash Punctuation	1142	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3775	28.8%
s	2015	15.4%
o	1760	13.5%
h	1760	13.5%
a	1420	10.9%
r	1203	9.2%
e	595	4.5%
u	557	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1420	37.6%
N	1203	31.9%
W	595	15.8%
S	557	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16860	93.7%
Common	1142	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3775	22.4%
s	2015	12.0%
o	1760	10.4%
h	1760	10.4%
E	1420	8.4%
a	1420	8.4%
N	1203	7.1%
r	1203	7.1%
W	595	3.5%
e	595	3.5%
Other values (2)	1114	6.6%

Common

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18002	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3775	21.0%
s	2015	11.2%
o	1760	9.8%
h	1760	9.8%
E	1420	7.9%
a	1420	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	281.5 KiB

Relatively New	1646
New Property	594
Moderately Old	563
Undefined	306
Old Property	303

Length

Max length	18
Median length	14
Mean length	13.385536
Min length	9

Characters and Unicode

Total characters	49232
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Undefined
2nd row	Undefined
3rd row	Old Property
4th row	Relatively New
5th row	Moderately Old

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	594	16.2%
Moderately Old	563	15.3%
Undefined	306	8.3%
Old Property	303	8.2%
Under Construction	266	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2240	31.8%
relatively	1646	23.3%
property	897	12.7%
old	866	12.3%
moderately	563	8.0%
undefined	306	4.3%
under	266	3.8%
construction	266	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8433	17.1%
l	4721	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2307	4.7%
N	2240	4.5%
w	2240	4.5%
i	2218	4.5%
Other values (15)	14068	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38810	78.8%
Uppercase Letter	7050	14.3%
Space Separator	3372	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8433	21.7%
l	4721	12.2%
t	3638	9.4%
y	3106	8.0%
r	2889	7.4%
d	2307	5.9%
w	2240	5.8%
i	2218	5.7%
a	2209	5.7%
o	1992	5.1%
Other values (7)	5057	13.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2240	31.8%
R	1646	23.3%
P	897	12.7%
O	866	12.3%
U	572	8.1%
M	563	8.0%
C	266	3.8%

Space Separator

Value	Count	Frequency (%)
	3372	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45860	93.2%
Common	3372	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8433	18.4%
l	4721	10.3%
t	3638	7.9%
y	3106	6.8%
r	2889	6.3%
d	2307	5.0%
N	2240	4.9%
w	2240	4.9%
i	2218	4.8%
a	2209	4.8%
Other values (14)	11859	25.9%

Common

Value	Count	Frequency (%)
	3372	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49232	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8433	17.1%
l	4721	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2307	4.7%
N	2240	4.5%
w	2240	4.5%
i	2218	4.5%
Other values (15)	14068	28.6%

super_built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	593
Distinct (%)	31.6%
Missing	1803
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.5
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
2408	19	0.5%
1900	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (583)	1634	44.4%
(Missing)	1803	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	644
Distinct (%)	38.1%
Missing	1987
Missing (%)	54.0%
Infinite	0
Infinite (%)	0.0%
Mean	2379.1425

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	2
5-th percentile	240.5
Q1	1100
median	1650
Q3	2400
95-th percentile	4690
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17937.58
Coefficient of variation (CV)	7.5395147
Kurtosis	1668.8567
Mean	2379.1425
Median Absolute Deviation (MAD)	650
Skewness	40.718604
Sum	4023130
Variance	3.2175678 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
2700	33	0.9%
1350	33	0.9%
900	28	0.8%
1600	26	0.7%
1300	24	0.7%
2000	24	0.7%
1700	23	0.6%
Other values (634)	1388	37.7%
(Missing)	1987	54.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	733
Distinct (%)	39.1%
Missing	1805
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2528.6968

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	845
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	945

Descriptive statistics

Standard deviation	22793.756
Coefficient of variation (CV)	9.0140328
Kurtosis	604.86236
Mean	2528.6968
Median Absolute Deviation (MAD)	470
Skewness	24.33976
Sum	4736249
Variance	5.1955529 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1600	35	1.0%
1800	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (723)	1579	42.9%
(Missing)	1805	49.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	2973
1	705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

servant room
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	2350
1	1328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

store room
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3340
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3022
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3273
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

1	2414
0	1058
2	206

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	2414	65.6%
0	1058	28.8%
2	206	5.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2414	65.6%
0	1058	28.8%
2	206	5.6%

Most occurring characters

Value	Count	Frequency (%)
1	2414	65.6%
0	1058	28.8%
2	206	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2414	65.6%
0	1058	28.8%
2	206	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2414	65.6%
0	1058	28.8%
2	206	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2414	65.6%
0	1058	28.8%
2	206	5.6%

luxury_score
Real number (ℝ)

ZEROS

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.51006

Minimum	0
Maximum	174
Zeros	462
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.05215
Coefficient of variation (CV)	0.74188373
Kurtosis	-0.87957301
Mean	71.51006
Median Absolute Deviation (MAD)	38
Skewness	0.45926092
Sum	263014
Variance	2814.5306
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	462	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
42	45	1.2%
37	45	1.2%
Other values (151)	2314	62.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	462	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Auto

Heatmap
Table

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	pooja room	price	price_per_sqft	property_type	servant room	store room	study room	super_built_up_area
agePossession	1.000	-0.116	0.274	-0.145	-0.159	-0.109	-0.067	0.092	0.066	0.214	-0.069	0.108	0.187	-0.135	-0.106	0.379	0.287	0.143	0.140	-0.082
area	-0.116	1.000	0.011	0.687	0.624	0.835	0.801	0.022	0.116	0.043	0.259	0.042	0.037	0.744	0.206	0.028	0.015	0.039	0.018	0.948
balcony	0.274	0.011	1.000	0.515	0.434	0.356	0.468	0.016	0.180	0.178	0.328	0.082	0.197	0.465	0.188	0.214	0.441	0.146	0.182	0.510
bathroom	-0.145	0.687	0.515	1.000	0.862	0.465	0.599	0.044	-0.004	0.198	0.179	0.070	0.286	0.720	0.411	0.472	0.520	0.244	0.176	0.819
bedRoom	-0.159	0.624	0.434	0.862	1.000	0.380	0.569	0.032	-0.104	0.168	0.057	0.079	0.291	0.681	0.417	0.595	0.317	0.223	0.154	0.800
built_up_area	-0.109	0.835	0.356	0.465	0.380	1.000	0.969	1.000	0.092	0.088	0.289	0.000	0.000	0.604	0.132	0.000	0.000	0.000	0.000	0.926
carpet_area	-0.067	0.801	0.468	0.599	0.569	0.969	1.000	0.000	0.158	0.000	0.238	0.016	0.000	0.613	0.137	0.000	0.000	0.000	0.003	0.894
facing	0.092	0.022	0.016	0.044	0.032	1.000	0.000	1.000	0.003	0.049	0.069	0.000	0.030	-0.013	-0.029	0.094	0.037	0.035	0.000	0.019
floorNum	0.066	0.116	0.180	-0.004	-0.104	0.092	0.158	0.003	1.000	0.016	0.232	0.033	0.102	0.000	-0.127	0.484	0.084	0.112	0.078	0.152
furnishing_type	0.214	0.043	0.178	0.198	0.168	0.088	0.000	0.049	0.016	1.000	-0.238	0.059	0.217	-0.184	-0.124	0.081	0.273	0.156	0.143	-0.114
luxury_score	-0.069	0.259	0.328	0.179	0.057	0.289	0.238	0.069	0.232	-0.238	1.000	0.176	0.189	0.215	0.054	0.329	0.347	0.228	0.183	0.222
others	0.108	0.042	0.082	0.070	0.079	0.000	0.016	0.000	0.033	0.059	0.176	1.000	0.033	-0.001	-0.019	0.026	0.000	0.106	0.031	-0.016
pooja room	0.187	0.037	0.197	0.286	0.291	0.000	0.000	0.030	0.102	0.217	0.189	0.033	1.000	0.268	0.198	0.252	0.252	0.305	0.313	0.110
price	-0.135	0.744	0.465	0.720	0.681	0.604	0.613	-0.013	0.000	-0.184	0.215	-0.001	0.268	1.000	0.744	0.543	0.369	0.303	0.244	0.772
price_per_sqft	-0.106	0.206	0.188	0.411	0.417	0.132	0.137	-0.029	-0.127	-0.124	0.054	-0.019	0.198	0.744	1.000	0.201	0.044	0.000	0.030	0.287
property_type	0.379	0.028	0.214	0.472	0.595	0.000	0.000	0.094	0.484	0.081	0.329	0.026	0.252	0.543	0.201	1.000	0.065	0.241	0.128	NaN
servant room	0.287	0.015	0.441	0.520	0.317	0.000	0.000	0.037	0.084	0.273	0.347	0.000	0.252	0.369	0.044	0.065	1.000	0.161	0.185	0.657
store room	0.143	0.039	0.146	0.244	0.223	0.000	0.000	0.035	0.112	0.156	0.228	0.106	0.305	0.303	0.000	0.241	0.161	1.000	0.226	0.033
study room	0.140	0.018	0.182	0.176	0.154	0.000	0.003	0.000	0.078	0.143	0.183	0.031	0.313	0.244	0.030	0.128	0.185	0.226	1.000	-0.015
super_built_up_area	-0.082	0.948	0.510	0.819	0.800	0.926	0.894	0.019	0.152	-0.114	0.222	-0.016	0.110	0.772	0.287	NaN	0.657	0.033	-0.015	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
0	flat	signature global grand iva	sector 103	0.50	6667.0	750.0	Built Up area: 750 (69.68 sq.m.)Carpet area: 605 sq.ft. (56.21 sq.m.)	2	2	0	10.0	North	Undefined	NaN	750.0	605.0	0	0	0	0	0	1	0
1	flat	dlf icon	sector 43	5.80	20707.0	2801.0	Built Up area: 2801 (260.22 sq.m.)	4	4	3+	18.0	NaN	Undefined	NaN	2801.0	NaN	0	0	0	0	0	1	0
2	house	independent	sector 11	1.35	3857.0	3500.0	Plot area 3500(325.16 sq.m.)	10	6	3+	3.0	NaN	Old Property	NaN	3500.0	NaN	0	0	0	0	0	1	0
3	flat	m3m skywalk	sector 74	1.55	13790.0	1124.0	Super Built up area 1406(130.62 sq.m.)Built Up area: 1300 sq.ft. (120.77 sq.m.)Carpet area: 1124 sq.ft. (104.42 sq.m.)	2	2	3+	18.0	South	Relatively New	1406.0	1300.0	1124.0	0	0	0	0	1	1	137
4	house	dlf city phase 1	sector 26	5.50	30556.0	1800.0	Plot area 200(167.23 sq.m.)	4	4	3	2.0	North-East	Moderately Old	NaN	1800.0	NaN	1	1	0	1	0	1	69
5	flat	tulip violet	sector 69	1.55	9639.0	1608.0	Super Built up area 1608(149.39 sq.m.)	3	3	2	2.0	East	Relatively New	1608.0	NaN	NaN	0	0	0	1	0	0	86
6	flat	unitech vistas	sector 70	0.99	6325.0	1565.0	Super Built up area 1565(145.39 sq.m.)	3	4	2	11.0	NaN	Under Construction	1565.0	NaN	NaN	0	0	0	0	0	1	0
7	flat	ss	sector 85	1.98	8222.0	2408.0	Super Built up area 2408(223.71 sq.m.)Built Up area: 2300 sq.ft. (213.68 sq.m.)Carpet area: 2200 sq.ft. (204.39 sq.m.)	3	4	3	6.0	West	Relatively New	2408.0	2300.0	2200.0	0	0	0	0	0	1	42
8	flat	gls arawali homes	sohna road	0.27	4600.0	587.0	Super Built up area 576(53.51 sq.m.)	2	2	2	5.0	NaN	New Property	576.0	NaN	NaN	0	0	0	0	0	1	42
9	flat	dlf regency park	sector 28	1.35	11739.0	1150.0	Super Built up area 1150(106.84 sq.m.)Built Up area: 1120 sq.ft. (104.05 sq.m.)Carpet area: 1050 sq.ft. (97.55 sq.m.)	2	2	2	14.0	East	Old Property	1150.0	1120.0	1050.0	0	0	1	0	0	1	66

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	servant room	store room	pooja room	others	furnishing_type	luxury_score
3792	house	vipul tatvam villa	sector 48	8.50	26235.0	3240.0	Plot area 360(301.01 sq.m.)	4	4	1	NaN	NaN	Relatively New	NaN	3240.0	NaN	0	0	0	0	1	21
3793	house	independent	sector 28	8.40	34568.0	2430.0	Plot area 270(225.75 sq.m.)	4	4	3+	2.0	North-East	Relatively New	NaN	2430.0	NaN	1	1	1	0	0	139
3794	house	sushant lok 1 builder floors	sector 43	1.95	10077.0	1935.0	Plot area 215(179.77 sq.m.)	3	4	3+	4.0	West	New Property	NaN	1935.0	NaN	1	0	0	0	0	78
3795	flat	m3m skywalk	sector 74	2.70	13379.0	2018.0	Super Built up area 2018(187.48 sq.m.)	3	3	3	13.0	NaN	New Property	2018.0	NaN	NaN	0	1	0	0	1	92
3796	flat	signature global solera	sector 107	0.51	7906.0	645.0	Carpet area: 645 (59.92 sq.m.)	3	2	2	9.0	South	Relatively New	NaN	NaN	645.0	0	0	0	1	1	15
3797	flat	suncity platinum towers	sector 28	6.20	23091.0	2685.0	Super Built up area 2685(249.44 sq.m.)Built Up area: 2000 sq.ft. (185.81 sq.m.)Carpet area: 1900 sq.ft. (176.52 sq.m.)	3	4	3+	21.0	South	Relatively New	2685.0	2000.0	1900.0	1	0	0	0	0	160
3799	flat	indiabulls centrum park	sector 103	1.05	5861.0	1792.0	Built Up area: 1365 (126.81 sq.m.)Carpet area: 900 sq.ft. (83.61 sq.m.)	2	2	3	1.0	West	Relatively New	NaN	1365.0	900.0	0	0	0	0	0	51
3800	flat	vatika independent floors	sector 82	1.16	6987.0	1660.0	Carpet area: 1660 (154.22 sq.m.)	3	3	3+	1.0	South-East	Relatively New	NaN	NaN	1660.0	1	1	1	0	0	151
3801	flat	ansal heights 86	sector 86	0.67	5100.0	1314.0	Super Built up area 1360(126.35 sq.m.)	2	2	1	10.0	NaN	Relatively New	1360.0	NaN	NaN	0	0	0	0	1	115
3802	flat	ss the leaf	sector 85	1.20	7317.0	1640.0	Super Built up area 1640(152.36 sq.m.)	2	2	3	12.0	South	Relatively New	1640.0	NaN	NaN	0	0	0	0	0	157

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category